Journal of Northeastern University Natural Science ›› 2020, Vol. 41 ›› Issue (11): 1535-1542.DOI: 10.12068/j.issn.1005-3026.2020.11.003

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Optimization of High-Speed Train Operation Plan for OD Passenger Flow

TIAN Hui-xin1,2, WANG Di1,2, SHUAI Min-wei1,2, LI Kun3   

  1. 1. School of Electrical Engineering and Automatic, Tiangong University, Tianjin 300387, China; 2.Tianjin Key Laboratory of Advanced Electrical Engineering and Energy Technology, Tiangong University, Tianjin 300387, China; 3.School of Economics and Management, Tiangong University, Tianjin 300387, China.
  • Received:2019-09-17 Revised:2019-09-17 Online:2020-11-15 Published:2020-11-16
  • Contact: TIAN Hui-xin
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Abstract: The train operation plan that meets the passenger travel needs can better attract passenger flow and improve the core competitiveness of high-speed railway. The maximization of economic benefits and the minimization of travel expenses as the research objects, the high-speed rail operation plan as the research object, and the travel demand of passengers as constraints are taken. The train operation plan is combined with the OD passenger flow. Taking into account the passengers’ purchase psychology and the timeliness of train ticket purchase, a multi-objective optimization model of train operation plan is established based on dynamic passenger flow. In order to solve the problem, a multi-objective differential (SG-MOSaDE) algorithm is designed based on individual information and the improved mutation operator. Taking a certain route in Guangzhou as an example, the results show that the optimized operation plan not only maximizes meeting the passenger travel demand, but also reduces the travel expenses of the passenger while improving the economic benefits of the railway sector. The number of stations has decreased compared with the original, and the stop plan is more balanced.

Key words: high-speed train; multi-objective optimization, OD passenger flow, operation plan, differential evolution algorithm

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